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Digital PCR-Based Genotyping: A Precision Approach to HCMV Drug Resistance.

Mojca Milavec1, Tašja Cvelbar2,3, Alexandra Bogožalec Košir4

  • 1Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia. mojca.milavec@nib.si.

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Summary
This summary is machine-generated.

This study introduces a digital PCR (dPCR) method for detecting drug resistance mutations in human cytomegalovirus (HCMV). This accurate workflow aids in identifying ganciclovir resistance, crucial for clinical and research applications.

Keywords:
Antimicrobial drug resistanceDigital PCRHuman cytomegalovirusMutations

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Area of Science:

  • Molecular Biology
  • Virology
  • Clinical Diagnostics

Background:

  • Ganciclovir is a primary antiviral medication for cytomegalovirus (CMV) infections.
  • Drug resistance in human cytomegalovirus (HCMV) is a significant clinical challenge, often linked to mutations in the UL97 gene.
  • Accurate detection of resistance mutations is vital for guiding patient treatment and managing HCMV infections.

Purpose of the Study:

  • To develop and validate a sensitive and accurate genotyping workflow for detecting drug resistance mutations in HCMV.
  • To quantify common mutations in the UL97 gene associated with ganciclovir resistance.
  • To establish a robust method for routine clinical testing and external quality assessment.

Main Methods:

  • Utilized digital PCR (dPCR) for high-sensitivity detection and quantification of specific UL97 gene mutations (codons 460, 594, 595).
  • Detailed a comprehensive workflow including DNA isolation, dPCR reaction setup, partitioning, thermocycling, and data analysis.
  • Focused on mutations responsible for the majority of ganciclovir-resistant HCMV clinical isolates.

Main Results:

  • The dPCR workflow demonstrated high sensitivity and accuracy in detecting and quantifying HCMV drug resistance mutations.
  • Successfully identified and quantified key mutations in the UL97 gene linked to ganciclovir resistance.
  • Validated the method's suitability for both routine diagnostic testing and as a reference procedure.

Conclusions:

  • The developed dPCR genotyping workflow significantly enhances the capability to detect HCMV drug resistance.
  • This method provides a robust, efficient, and accurate tool for clinical laboratories and researchers.
  • The workflow supports improved management of ganciclovir-resistant HCMV infections.